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Data Representing Ground-Truth Explanations to Evaluate XAI Methods

Data Representing Ground-Truth Explanations to Evaluate XAI Methods

18 November 2020
S. Amiri
Rosina O. Weber
Prateek Goel
Owen Brooks
Archer Gandley
Brian Kitchell
Aaron Zehm
    XAI
ArXiv (abs)PDFHTML

Papers citing "Data Representing Ground-Truth Explanations to Evaluate XAI Methods"

4 / 4 papers shown
The Effect of Balancing Methods on Model Behavior in Imbalanced
  Classification Problems
The Effect of Balancing Methods on Model Behavior in Imbalanced Classification ProblemsLearning with Imbalanced Domains: Theory and Applications (LIDTA), 2023
Adrian Stando
Mustafa Cavus
P. Biecek
160
11
0
30 Jun 2023
Disagreement amongst counterfactual explanations: How transparency can
  be deceptive
Disagreement amongst counterfactual explanations: How transparency can be deceptive
Dieter Brughmans
Lissa Melis
David Martens
215
5
0
25 Apr 2023
Longitudinal Distance: Towards Accountable Instance Attribution
Longitudinal Distance: Towards Accountable Instance Attribution
Rosina O. Weber
Prateek Goel
S. Amiri
G. Simpson
200
1
0
23 Aug 2021
Knowledge-based XAI through CBR: There is more to explanations than
  models can tell
Knowledge-based XAI through CBR: There is more to explanations than models can tell
Rosina O. Weber
Manil Shrestha
Adam J. Johs
145
4
0
23 Aug 2021
1
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